Mingshu Wang

Mingshu Wang

Reader in Geospatial Data Science

University of Glasgow

I am a Reader in Geospatial Data Science at the University of Glasgow. My research connects GeoAI, geographical information science and urban analytics, developing spatially aware and explainable methods to understand cities and regions.

With my students and collaborators, I investigate how urban form, infrastructure networks and digital platforms relate to mobility, accessibility, inequality, and economic and environmental outcomes. My work combines machine learning with spatial theory, spatial econometrics and network science, linking methodological development to substantive questions in urban and regional research.

Interests
  • GeoAI
  • Geographical Information Science
  • Urban Analytics
Education
  • Ph.D. in Geography (GIScience)

    University of Georgia, USA

  • MSc. in Geography (GIScience)

    University of Georgia, USA

  • BSc. in Regional Planning

    Nanjing University, China

Research mission

Our mission is to advance GeoAI that connects predictive modelling with explanation grounded in spatial theory. We aim to build transparent, computationally efficient representations of urban and regional systems that help researchers and planners understand spatial inequalities and assess development choices.

Explore our research →

People behind the research

Meet the doctoral researchers, visiting scholars and collaborators contributing to our work in GeoAI and urban analytics.